Course Description
Information Systems (IS) professionals in today's organisations are leaders in change and development. Your success in this field will be aided by your being able to apply formal methods of data collection and analysis to assist decision making. Statistics is one of the most important tools for analyzing business data.
This course will cover important concepts and skills in statistic data analysis and decision modelling. It will also provide hand-on experience of using Microsoft Excel to perform those analysis.
Learning Outcome
- Understand the importance of data in decision making and be able to describe data using descriptive statistics and charts
- Understand basic probability and be able to apply Bayes theorem to update probability
- Understand basic concepts in decision modelling
- Understand several probability models including queuing model, Markov model and their use in Information Systems
- Understand regression model and statistic significance
- Understand linear programming model and its application in Information system
- Be able to use R and Excel for charting, model building and data analysis
Assessment packages
- Quizzes (40%)
- Final Exam (60%)
Course staff
- Dr. Ying Zhou (YING.ZHOU at SYDNEY dot EDU dot AU)
- Dr. Simon Poon(SIMON.POON at SYDNEY dot EDU dot AU)